{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import necessary libraries\n",
    "\n",
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from scipy.stats import linregress\n",
    "from scipy import optimize\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.path import Path\n",
    "import matplotlib.patches as patches\n",
    "from matplotlib.patches import PathPatch\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#define variables \n",
    "\n",
    "#these are relict from previous code and used to normalize the earth data from Anjali and are included for posterity\n",
    "#divisors for the Mars data are derived from width measurements as described in the corresponding text\n",
    "\n",
    "#earth system backwater lengths in kilometers\n",
    "miss_bw = 328\n",
    "waal_bw = 85\n",
    "nederjin_linge_bw = 71\n",
    "\n",
    "#earth system channel widths in meters\n",
    "miss_channel_width = 1200\n",
    "waal_channel_width = 300\n",
    "nederjin_linge_channel_width = 200\n",
    "\n",
    "#read in data\n",
    "earth_df = pd.read_csv(r\"C:\\Users\\Corym\\Documents\\Seagate\\manuscripts\\AD_Belt_Tapering\\Figures\\all_earth_belts_bwnorm.csv\")\n",
    "mars_df = pd.read_csv(r\"C:\\Users\\Corym\\Documents\\Seagate\\manuscripts\\AD_Belt_Tapering\\Figures\\mars_df.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 666,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>one_width</th>\n",
       "      <th>one_up</th>\n",
       "      <th>two_width</th>\n",
       "      <th>two_up</th>\n",
       "      <th>three_width</th>\n",
       "      <th>three_up</th>\n",
       "      <th>four_width</th>\n",
       "      <th>four_up</th>\n",
       "      <th>five_width</th>\n",
       "      <th>five_up</th>\n",
       "      <th>six_width</th>\n",
       "      <th>six_up</th>\n",
       "      <th>seven_width</th>\n",
       "      <th>seven_up</th>\n",
       "      <th>eight_width</th>\n",
       "      <th>eight_up</th>\n",
       "      <th>nine_width</th>\n",
       "      <th>nine_up</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>145.158005</td>\n",
       "      <td>2086.010010</td>\n",
       "      <td>118.152000</td>\n",
       "      <td>1567.540039</td>\n",
       "      <td>87.562401</td>\n",
       "      <td>3846.419922</td>\n",
       "      <td>23.733101</td>\n",
       "      <td>2653.350098</td>\n",
       "      <td>70.980499</td>\n",
       "      <td>1187.810059</td>\n",
       "      <td>44.857700</td>\n",
       "      <td>687.552978</td>\n",
       "      <td>77.765800</td>\n",
       "      <td>1012.849976</td>\n",
       "      <td>130.341995</td>\n",
       "      <td>371.403015</td>\n",
       "      <td>50.023102</td>\n",
       "      <td>2038.140015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100.969002</td>\n",
       "      <td>2164.334412</td>\n",
       "      <td>120.550003</td>\n",
       "      <td>1631.144039</td>\n",
       "      <td>82.805199</td>\n",
       "      <td>3914.050125</td>\n",
       "      <td>22.843800</td>\n",
       "      <td>2693.827797</td>\n",
       "      <td>58.208500</td>\n",
       "      <td>1255.854561</td>\n",
       "      <td>42.639301</td>\n",
       "      <td>760.918175</td>\n",
       "      <td>43.488399</td>\n",
       "      <td>1147.378983</td>\n",
       "      <td>91.750298</td>\n",
       "      <td>558.738022</td>\n",
       "      <td>40.621300</td>\n",
       "      <td>2144.870018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>110.647003</td>\n",
       "      <td>2218.566013</td>\n",
       "      <td>99.011200</td>\n",
       "      <td>1686.716740</td>\n",
       "      <td>95.650803</td>\n",
       "      <td>3969.570427</td>\n",
       "      <td>27.539400</td>\n",
       "      <td>2728.825997</td>\n",
       "      <td>48.037201</td>\n",
       "      <td>1327.093163</td>\n",
       "      <td>41.473301</td>\n",
       "      <td>828.659172</td>\n",
       "      <td>29.431601</td>\n",
       "      <td>1245.287483</td>\n",
       "      <td>97.471802</td>\n",
       "      <td>728.331024</td>\n",
       "      <td>40.089500</td>\n",
       "      <td>2238.347817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>156.697998</td>\n",
       "      <td>2273.781815</td>\n",
       "      <td>98.988701</td>\n",
       "      <td>1744.477841</td>\n",
       "      <td>106.787003</td>\n",
       "      <td>4030.011726</td>\n",
       "      <td>31.482100</td>\n",
       "      <td>2768.657196</td>\n",
       "      <td>67.996201</td>\n",
       "      <td>1399.649559</td>\n",
       "      <td>30.641701</td>\n",
       "      <td>903.099670</td>\n",
       "      <td>29.305300</td>\n",
       "      <td>1346.558487</td>\n",
       "      <td>78.570396</td>\n",
       "      <td>890.089020</td>\n",
       "      <td>25.444599</td>\n",
       "      <td>2336.248116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>124.931999</td>\n",
       "      <td>2335.795815</td>\n",
       "      <td>112.571999</td>\n",
       "      <td>1799.299839</td>\n",
       "      <td>109.776001</td>\n",
       "      <td>4090.378925</td>\n",
       "      <td>44.275902</td>\n",
       "      <td>2804.243694</td>\n",
       "      <td>83.709297</td>\n",
       "      <td>1477.686661</td>\n",
       "      <td>37.605801</td>\n",
       "      <td>975.256271</td>\n",
       "      <td>41.972500</td>\n",
       "      <td>1437.742485</td>\n",
       "      <td>104.653999</td>\n",
       "      <td>1098.619019</td>\n",
       "      <td>37.058498</td>\n",
       "      <td>2426.192215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>431.062988</td>\n",
       "      <td>15859.246060</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>501.269012</td>\n",
       "      <td>16022.293060</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>459.225006</td>\n",
       "      <td>16250.307070</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>505.743988</td>\n",
       "      <td>16399.620070</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>462.410004</td>\n",
       "      <td>16562.704070</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>133 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      one_width       one_up   two_width       two_up  three_width  \\\n",
       "0    145.158005  2086.010010  118.152000  1567.540039    87.562401   \n",
       "1    100.969002  2164.334412  120.550003  1631.144039    82.805199   \n",
       "2    110.647003  2218.566013   99.011200  1686.716740    95.650803   \n",
       "3    156.697998  2273.781815   98.988701  1744.477841   106.787003   \n",
       "4    124.931999  2335.795815  112.571999  1799.299839   109.776001   \n",
       "..          ...          ...         ...          ...          ...   \n",
       "128         NaN          NaN         NaN          NaN          NaN   \n",
       "129         NaN          NaN         NaN          NaN          NaN   \n",
       "130         NaN          NaN         NaN          NaN          NaN   \n",
       "131         NaN          NaN         NaN          NaN          NaN   \n",
       "132         NaN          NaN         NaN          NaN          NaN   \n",
       "\n",
       "        three_up  four_width       four_up  five_width      five_up  \\\n",
       "0    3846.419922   23.733101   2653.350098   70.980499  1187.810059   \n",
       "1    3914.050125   22.843800   2693.827797   58.208500  1255.854561   \n",
       "2    3969.570427   27.539400   2728.825997   48.037201  1327.093163   \n",
       "3    4030.011726   31.482100   2768.657196   67.996201  1399.649559   \n",
       "4    4090.378925   44.275902   2804.243694   83.709297  1477.686661   \n",
       "..           ...         ...           ...         ...          ...   \n",
       "128          NaN  431.062988  15859.246060         NaN          NaN   \n",
       "129          NaN  501.269012  16022.293060         NaN          NaN   \n",
       "130          NaN  459.225006  16250.307070         NaN          NaN   \n",
       "131          NaN  505.743988  16399.620070         NaN          NaN   \n",
       "132          NaN  462.410004  16562.704070         NaN          NaN   \n",
       "\n",
       "     six_width      six_up  seven_width     seven_up  eight_width  \\\n",
       "0    44.857700  687.552978    77.765800  1012.849976   130.341995   \n",
       "1    42.639301  760.918175    43.488399  1147.378983    91.750298   \n",
       "2    41.473301  828.659172    29.431601  1245.287483    97.471802   \n",
       "3    30.641701  903.099670    29.305300  1346.558487    78.570396   \n",
       "4    37.605801  975.256271    41.972500  1437.742485   104.653999   \n",
       "..         ...         ...          ...          ...          ...   \n",
       "128        NaN         NaN          NaN          NaN          NaN   \n",
       "129        NaN         NaN          NaN          NaN          NaN   \n",
       "130        NaN         NaN          NaN          NaN          NaN   \n",
       "131        NaN         NaN          NaN          NaN          NaN   \n",
       "132        NaN         NaN          NaN          NaN          NaN   \n",
       "\n",
       "        eight_up  nine_width      nine_up  \n",
       "0     371.403015   50.023102  2038.140015  \n",
       "1     558.738022   40.621300  2144.870018  \n",
       "2     728.331024   40.089500  2238.347817  \n",
       "3     890.089020   25.444599  2336.248116  \n",
       "4    1098.619019   37.058498  2426.192215  \n",
       "..           ...         ...          ...  \n",
       "128          NaN         NaN          NaN  \n",
       "129          NaN         NaN          NaN  \n",
       "130          NaN         NaN          NaN  \n",
       "131          NaN         NaN          NaN  \n",
       "132          NaN         NaN          NaN  \n",
       "\n",
       "[133 rows x 18 columns]"
      ]
     },
     "execution_count": 666,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mars_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These functions define the moving averages for the earth data, the statistics of backwater/belt-width window, and plot both. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def earth_moving_box_average(df, box_width=0.1, num_evals=250):\n",
    "    \"\"\"\n",
    "    Computes a moving box average for all paired width-related columns, using a distance-based method.\n",
    "\n",
    "    Parameters:\n",
    "    df (pd.DataFrame): Input dataframe with width and bw columns.\n",
    "    box_width (float, optional): Width of the moving average box. Default is 0.1.\n",
    "    num_evals (int, optional): Number of evaluation points. Default is 250.\n",
    "\n",
    "    Returns:\n",
    "    pd.DataFrame: The input DataFrame with new averaged width and distance columns added.\n",
    "    \"\"\"\n",
    "    result_df = df.copy() \n",
    "\n",
    "    # Identify paired columns (*_width_norm and *_bw_norm)\n",
    "    width_cols = [col for col in df.columns if col.endswith(\"_width_norm\")]\n",
    "\n",
    "    for col in width_cols:\n",
    "        bw_col = col.replace(\"_width_norm\", \"_bw_norm\")  # Get corresponding distance column\n",
    "\n",
    "        if bw_col in df.columns:\n",
    "            # Define box center points for evaluation\n",
    "            min_bw, max_bw = df[bw_col].min(), df[bw_col].max()\n",
    "            centers = np.linspace(min_bw + box_width / 2, max_bw - box_width / 2, num_evals)\n",
    "\n",
    "            width_avgs = []\n",
    "\n",
    "            for center in centers:\n",
    "                lower_edge, upper_edge = center - box_width / 2, center + box_width / 2\n",
    "                mask = (df[bw_col] >= lower_edge) & (df[bw_col] <= upper_edge)\n",
    "\n",
    "                if mask.any():\n",
    "                    width_avgs.append(df.loc[mask, col].mean())  # Compute mean width\n",
    "                else:\n",
    "                    width_avgs.append(np.nan)\n",
    "\n",
    "            # Add results as new columns\n",
    "            result_df[f\"{col}_avg\"] = np.nan  # Averaged width values (y-axis)\n",
    "            result_df[f\"{col.replace('_width_norm', '_bw_avg')}\"] = np.nan  # Box center (x-axis)\n",
    "\n",
    "            result_df.loc[:num_evals-1, f\"{col}_avg\"] = width_avgs\n",
    "            result_df.loc[:num_evals-1, f\"{col.replace('_width_norm', '_bw_avg')}\"] = centers\n",
    "\n",
    "    return result_df\n",
    "\n",
    "def earth_plot_moving_averages(df, ax=None):\n",
    "    \"\"\"\n",
    "    Plots moving averages for all paired width-related columns and incorporates\n",
    "    the backwater/belt-width window statistics.\n",
    "\n",
    "    Parameters:\n",
    "    df (pd.DataFrame): DataFrame with computed moving averages.\n",
    "    ax (matplotlib.axes._subplots.Axes, optional): Axis to plot on. Default is None.\n",
    "    \"\"\"\n",
    "    import matplotlib.pyplot as plt\n",
    "    from matplotlib.patches import PathPatch\n",
    "    from matplotlib.path import Path\n",
    "\n",
    "    if ax is None:\n",
    "        fig, ax = plt.subplots(figsize=(10, 6))\n",
    "\n",
    "    # Identify moving average columns\n",
    "    avg_cols = [col for col in df.columns if col.endswith(\"_width_norm_avg\")]\n",
    "    print(\"Detected average columns:\", avg_cols)  # Debug statement\n",
    "\n",
    "    colors = [\"blue\", \"yellow\", \"red\", \"black\", \"green\", \"purple\"]  # Extend as needed\n",
    "    found_data = False\n",
    "\n",
    "    for i, avg_col in enumerate(avg_cols):\n",
    "        bw_avg_col = avg_col.replace(\"_width_norm_avg\", \"_bw_avg\")  # Find corresponding x-axis column\n",
    "        raw_col = avg_col.replace(\"_width_norm_avg\", \"_width_norm\")  # Find corresponding raw data column\n",
    "        bw_col = raw_col.replace(\"_width_norm\", \"_bw_norm\")  # Find corresponding distance column\n",
    "\n",
    "        if bw_avg_col in df.columns and bw_col in df.columns:\n",
    "            # Drop NaN values before plotting\n",
    "            valid_data = df[[bw_avg_col, avg_col]].dropna()\n",
    "            if valid_data.empty:\n",
    "                print(f\"Skipping {avg_col}, no valid data to plot.\")\n",
    "                continue\n",
    "\n",
    "            color = colors[i % len(colors)]\n",
    "            label = raw_col.split('_')[0].capitalize()\n",
    "\n",
    "            # Scatter plot of raw data (excluded from legend)\n",
    "            ax.plot(df[bw_col], df[raw_col], '+', mfc='none', color=color, alpha=0.5, label='_nolegend_')\n",
    "\n",
    "            # Line plot of moving averages with simplified legend\n",
    "            ax.plot(valid_data[bw_avg_col], valid_data[avg_col], color=color, label=label, linewidth=3)\n",
    "            found_data = True\n",
    "\n",
    "    if not found_data:\n",
    "        print(\"No valid data found to plot. Ensure the moving averages are computed correctly.\")\n",
    "\n",
    "    # Nested function to compute statistics for the backwater/belt-width window\n",
    "    def compute_bwbww_box_stats(df, lower_x_threshold=0.97, upper_x_threshold=1.03):\n",
    "        width_cols = [col for col in df.columns if col.endswith(\"_width_norm\")]\n",
    "        bw_cols = [col.replace(\"_width_norm\", \"_bw_norm\") for col in width_cols]\n",
    "\n",
    "        # Collect all width values within the specified x range\n",
    "        y_values = []\n",
    "        for width_col, bw_col in zip(width_cols, bw_cols):\n",
    "            y_window = df.loc[(df[bw_col] >= lower_x_threshold) & (df[bw_col] <= upper_x_threshold), width_col]\n",
    "            y_values.extend(y_window.dropna().tolist())\n",
    "\n",
    "        # Compute global mean and standard deviation across all rivers\n",
    "        mean_y = round(np.mean(y_values))\n",
    "        std_y = round(np.std(y_values))\n",
    "\n",
    "        return {\n",
    "            \"mean\": mean_y,\n",
    "            \"std\": std_y,\n",
    "            \"y_min\": mean_y - std_y,\n",
    "            \"y_max\": mean_y + std_y\n",
    "        }\n",
    "\n",
    "    # Compute statistics for the backwater/belt-width window\n",
    "    box_stats = compute_bwbww_box_stats(df)\n",
    "\n",
    "    # Add horizontal and vertical guide lines\n",
    "    lower_x_threshold, upper_x_threshold = 0.97, 1.03\n",
    "    y_min, y_max = box_stats[\"y_min\"], box_stats[\"y_max\"]\n",
    "\n",
    "    ax.axhspan(y_min, y_max, facecolor='g', alpha=0.5)\n",
    "    ax.axvspan(lower_x_threshold, upper_x_threshold, facecolor='g', alpha=0.5)\n",
    "\n",
    "    # Define the rectangle vertices\n",
    "    verts = [\n",
    "        (lower_x_threshold, y_min),\n",
    "        (lower_x_threshold, y_max),\n",
    "        (upper_x_threshold, y_max),\n",
    "        (upper_x_threshold, y_min),\n",
    "        (lower_x_threshold, y_min)  # Close the polygon\n",
    "    ]\n",
    "\n",
    "    codes = [Path.MOVETO, Path.LINETO, Path.LINETO, Path.LINETO, Path.CLOSEPOLY]\n",
    "    path = Path(verts, codes)\n",
    "    patch = PathPatch(path, facecolor='plum', edgecolor='black', linewidth=1.5, label=\"BWBWW\")\n",
    "    patch.set_label('_nolegend_')\n",
    "\n",
    "    ax.add_patch(patch)\n",
    "\n",
    "    ax.legend(fontsize=20, frameon=False)\n",
    "    ax.set_xlabel(\"distance upstream / backwater length\", fontsize=20)\n",
    "    ax.set_ylabel(\"belt-width / channel width\", fontsize=20)\n",
    "    ax.set_ylim(0, 15)  # Set y-axis bounds to 0 - 15\n",
    "    ax.set_xlim(0, 2)  # Set x-axis bounds to 0 - 1.5\n",
    "    ax.tick_params(axis='both', which='major', labelsize=16)\n",
    "    ax.locator_params(axis='x', nbins=5)  # Reduce number of x-axis ticks\n",
    "    ax.locator_params(axis='y', nbins=5)  \n",
    "    plt.tight_layout()\n",
    "    #plt.savefig(\"earthdata_wide.png\", dpi=600, bbox_inches=\"tight\")\n",
    "    plt.show()\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detected average columns: ['miss_width_norm_avg', 'waal_width_norm_avg', 'nederrijn_width_norm_avg', 'linge_width_norm_avg']\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "earth_df = earth_moving_box_average(earth_df)\n",
    "earth_plot_moving_averages(earth_df)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These functions normalize Mars' widths, find moving averages, and plot the backwater/belt-width window for each of the 9 channel belts."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>one_width</th>\n",
       "      <th>one_up</th>\n",
       "      <th>two_width</th>\n",
       "      <th>two_up</th>\n",
       "      <th>three_width</th>\n",
       "      <th>three_up</th>\n",
       "      <th>four_width</th>\n",
       "      <th>four_up</th>\n",
       "      <th>five_width</th>\n",
       "      <th>five_up</th>\n",
       "      <th>six_width</th>\n",
       "      <th>six_up</th>\n",
       "      <th>seven_width</th>\n",
       "      <th>seven_up</th>\n",
       "      <th>eight_width</th>\n",
       "      <th>eight_up</th>\n",
       "      <th>nine_width</th>\n",
       "      <th>nine_up</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>145.158005</td>\n",
       "      <td>2086.010010</td>\n",
       "      <td>118.152000</td>\n",
       "      <td>1567.540039</td>\n",
       "      <td>87.562401</td>\n",
       "      <td>3846.419922</td>\n",
       "      <td>23.733101</td>\n",
       "      <td>2653.350098</td>\n",
       "      <td>70.980499</td>\n",
       "      <td>1187.810059</td>\n",
       "      <td>44.857700</td>\n",
       "      <td>687.552978</td>\n",
       "      <td>77.765800</td>\n",
       "      <td>1012.849976</td>\n",
       "      <td>130.341995</td>\n",
       "      <td>371.403015</td>\n",
       "      <td>50.023102</td>\n",
       "      <td>2038.140015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100.969002</td>\n",
       "      <td>2164.334412</td>\n",
       "      <td>120.550003</td>\n",
       "      <td>1631.144039</td>\n",
       "      <td>82.805199</td>\n",
       "      <td>3914.050125</td>\n",
       "      <td>22.843800</td>\n",
       "      <td>2693.827797</td>\n",
       "      <td>58.208500</td>\n",
       "      <td>1255.854561</td>\n",
       "      <td>42.639301</td>\n",
       "      <td>760.918175</td>\n",
       "      <td>43.488399</td>\n",
       "      <td>1147.378983</td>\n",
       "      <td>91.750298</td>\n",
       "      <td>558.738022</td>\n",
       "      <td>40.621300</td>\n",
       "      <td>2144.870018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>110.647003</td>\n",
       "      <td>2218.566013</td>\n",
       "      <td>99.011200</td>\n",
       "      <td>1686.716740</td>\n",
       "      <td>95.650803</td>\n",
       "      <td>3969.570427</td>\n",
       "      <td>27.539400</td>\n",
       "      <td>2728.825997</td>\n",
       "      <td>48.037201</td>\n",
       "      <td>1327.093163</td>\n",
       "      <td>41.473301</td>\n",
       "      <td>828.659172</td>\n",
       "      <td>29.431601</td>\n",
       "      <td>1245.287483</td>\n",
       "      <td>97.471802</td>\n",
       "      <td>728.331024</td>\n",
       "      <td>40.089500</td>\n",
       "      <td>2238.347817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>156.697998</td>\n",
       "      <td>2273.781815</td>\n",
       "      <td>98.988701</td>\n",
       "      <td>1744.477841</td>\n",
       "      <td>106.787003</td>\n",
       "      <td>4030.011726</td>\n",
       "      <td>31.482100</td>\n",
       "      <td>2768.657196</td>\n",
       "      <td>67.996201</td>\n",
       "      <td>1399.649559</td>\n",
       "      <td>30.641701</td>\n",
       "      <td>903.099670</td>\n",
       "      <td>29.305300</td>\n",
       "      <td>1346.558487</td>\n",
       "      <td>78.570396</td>\n",
       "      <td>890.089020</td>\n",
       "      <td>25.444599</td>\n",
       "      <td>2336.248116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>124.931999</td>\n",
       "      <td>2335.795815</td>\n",
       "      <td>112.571999</td>\n",
       "      <td>1799.299839</td>\n",
       "      <td>109.776001</td>\n",
       "      <td>4090.378925</td>\n",
       "      <td>44.275902</td>\n",
       "      <td>2804.243694</td>\n",
       "      <td>83.709297</td>\n",
       "      <td>1477.686661</td>\n",
       "      <td>37.605801</td>\n",
       "      <td>975.256271</td>\n",
       "      <td>41.972500</td>\n",
       "      <td>1437.742485</td>\n",
       "      <td>104.653999</td>\n",
       "      <td>1098.619019</td>\n",
       "      <td>37.058498</td>\n",
       "      <td>2426.192215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>431.062988</td>\n",
       "      <td>15859.246060</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>501.269012</td>\n",
       "      <td>16022.293060</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>459.225006</td>\n",
       "      <td>16250.307070</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>505.743988</td>\n",
       "      <td>16399.620070</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>462.410004</td>\n",
       "      <td>16562.704070</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>133 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      one_width       one_up   two_width       two_up  three_width  \\\n",
       "0    145.158005  2086.010010  118.152000  1567.540039    87.562401   \n",
       "1    100.969002  2164.334412  120.550003  1631.144039    82.805199   \n",
       "2    110.647003  2218.566013   99.011200  1686.716740    95.650803   \n",
       "3    156.697998  2273.781815   98.988701  1744.477841   106.787003   \n",
       "4    124.931999  2335.795815  112.571999  1799.299839   109.776001   \n",
       "..          ...          ...         ...          ...          ...   \n",
       "128         NaN          NaN         NaN          NaN          NaN   \n",
       "129         NaN          NaN         NaN          NaN          NaN   \n",
       "130         NaN          NaN         NaN          NaN          NaN   \n",
       "131         NaN          NaN         NaN          NaN          NaN   \n",
       "132         NaN          NaN         NaN          NaN          NaN   \n",
       "\n",
       "        three_up  four_width       four_up  five_width      five_up  \\\n",
       "0    3846.419922   23.733101   2653.350098   70.980499  1187.810059   \n",
       "1    3914.050125   22.843800   2693.827797   58.208500  1255.854561   \n",
       "2    3969.570427   27.539400   2728.825997   48.037201  1327.093163   \n",
       "3    4030.011726   31.482100   2768.657196   67.996201  1399.649559   \n",
       "4    4090.378925   44.275902   2804.243694   83.709297  1477.686661   \n",
       "..           ...         ...           ...         ...          ...   \n",
       "128          NaN  431.062988  15859.246060         NaN          NaN   \n",
       "129          NaN  501.269012  16022.293060         NaN          NaN   \n",
       "130          NaN  459.225006  16250.307070         NaN          NaN   \n",
       "131          NaN  505.743988  16399.620070         NaN          NaN   \n",
       "132          NaN  462.410004  16562.704070         NaN          NaN   \n",
       "\n",
       "     six_width      six_up  seven_width     seven_up  eight_width  \\\n",
       "0    44.857700  687.552978    77.765800  1012.849976   130.341995   \n",
       "1    42.639301  760.918175    43.488399  1147.378983    91.750298   \n",
       "2    41.473301  828.659172    29.431601  1245.287483    97.471802   \n",
       "3    30.641701  903.099670    29.305300  1346.558487    78.570396   \n",
       "4    37.605801  975.256271    41.972500  1437.742485   104.653999   \n",
       "..         ...         ...          ...          ...          ...   \n",
       "128        NaN         NaN          NaN          NaN          NaN   \n",
       "129        NaN         NaN          NaN          NaN          NaN   \n",
       "130        NaN         NaN          NaN          NaN          NaN   \n",
       "131        NaN         NaN          NaN          NaN          NaN   \n",
       "132        NaN         NaN          NaN          NaN          NaN   \n",
       "\n",
       "        eight_up  nine_width      nine_up  \n",
       "0     371.403015   50.023102  2038.140015  \n",
       "1     558.738022   40.621300  2144.870018  \n",
       "2     728.331024   40.089500  2238.347817  \n",
       "3     890.089020   25.444599  2336.248116  \n",
       "4    1098.619019   37.058498  2426.192215  \n",
       "..           ...         ...          ...  \n",
       "128          NaN         NaN          NaN  \n",
       "129          NaN         NaN          NaN  \n",
       "130          NaN         NaN          NaN  \n",
       "131          NaN         NaN          NaN  \n",
       "132          NaN         NaN          NaN  \n",
       "\n",
       "[133 rows x 18 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mars_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>one_width</th>\n",
       "      <th>one_up</th>\n",
       "      <th>two_width</th>\n",
       "      <th>two_up</th>\n",
       "      <th>three_width</th>\n",
       "      <th>three_up</th>\n",
       "      <th>four_width</th>\n",
       "      <th>four_up</th>\n",
       "      <th>five_width</th>\n",
       "      <th>five_up</th>\n",
       "      <th>...</th>\n",
       "      <th>five_width_norm_avg</th>\n",
       "      <th>five_up_avg</th>\n",
       "      <th>six_width_norm_avg</th>\n",
       "      <th>six_up_avg</th>\n",
       "      <th>seven_width_norm_avg</th>\n",
       "      <th>seven_up_avg</th>\n",
       "      <th>eight_width_norm_avg</th>\n",
       "      <th>eight_up_avg</th>\n",
       "      <th>nine_width_norm_avg</th>\n",
       "      <th>nine_up_avg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>145.158005</td>\n",
       "      <td>2086.010010</td>\n",
       "      <td>118.152000</td>\n",
       "      <td>1567.540039</td>\n",
       "      <td>87.562401</td>\n",
       "      <td>3846.419922</td>\n",
       "      <td>23.733101</td>\n",
       "      <td>2653.350098</td>\n",
       "      <td>70.980499</td>\n",
       "      <td>1187.810059</td>\n",
       "      <td>...</td>\n",
       "      <td>0.889509</td>\n",
       "      <td>1187.810059</td>\n",
       "      <td>1.040861</td>\n",
       "      <td>687.552978</td>\n",
       "      <td>0.710835</td>\n",
       "      <td>1012.849976</td>\n",
       "      <td>0.911140</td>\n",
       "      <td>371.403015</td>\n",
       "      <td>0.623498</td>\n",
       "      <td>2038.140015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100.969002</td>\n",
       "      <td>2164.334412</td>\n",
       "      <td>120.550003</td>\n",
       "      <td>1631.144039</td>\n",
       "      <td>82.805199</td>\n",
       "      <td>3914.050125</td>\n",
       "      <td>22.843800</td>\n",
       "      <td>2693.827797</td>\n",
       "      <td>58.208500</td>\n",
       "      <td>1255.854561</td>\n",
       "      <td>...</td>\n",
       "      <td>0.848540</td>\n",
       "      <td>1500.391831</td>\n",
       "      <td>0.987587</td>\n",
       "      <td>930.351639</td>\n",
       "      <td>0.747242</td>\n",
       "      <td>1312.499375</td>\n",
       "      <td>0.958185</td>\n",
       "      <td>705.737872</td>\n",
       "      <td>0.654088</td>\n",
       "      <td>2283.703093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>110.647003</td>\n",
       "      <td>2218.566013</td>\n",
       "      <td>99.011200</td>\n",
       "      <td>1686.716740</td>\n",
       "      <td>95.650803</td>\n",
       "      <td>3969.570427</td>\n",
       "      <td>27.539400</td>\n",
       "      <td>2728.825997</td>\n",
       "      <td>48.037201</td>\n",
       "      <td>1327.093163</td>\n",
       "      <td>...</td>\n",
       "      <td>0.861383</td>\n",
       "      <td>1812.973603</td>\n",
       "      <td>0.964421</td>\n",
       "      <td>1173.150299</td>\n",
       "      <td>0.763680</td>\n",
       "      <td>1612.148773</td>\n",
       "      <td>0.957609</td>\n",
       "      <td>1040.072728</td>\n",
       "      <td>0.692895</td>\n",
       "      <td>2529.266170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>156.697998</td>\n",
       "      <td>2273.781815</td>\n",
       "      <td>98.988701</td>\n",
       "      <td>1744.477841</td>\n",
       "      <td>106.787003</td>\n",
       "      <td>4030.011726</td>\n",
       "      <td>31.482100</td>\n",
       "      <td>2768.657196</td>\n",
       "      <td>67.996201</td>\n",
       "      <td>1399.649559</td>\n",
       "      <td>...</td>\n",
       "      <td>0.892588</td>\n",
       "      <td>2125.555375</td>\n",
       "      <td>0.988396</td>\n",
       "      <td>1415.948959</td>\n",
       "      <td>0.844472</td>\n",
       "      <td>1911.798172</td>\n",
       "      <td>0.951866</td>\n",
       "      <td>1374.407585</td>\n",
       "      <td>0.707892</td>\n",
       "      <td>2774.829248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>124.931999</td>\n",
       "      <td>2335.795815</td>\n",
       "      <td>112.571999</td>\n",
       "      <td>1799.299839</td>\n",
       "      <td>109.776001</td>\n",
       "      <td>4090.378925</td>\n",
       "      <td>44.275902</td>\n",
       "      <td>2804.243694</td>\n",
       "      <td>83.709297</td>\n",
       "      <td>1477.686661</td>\n",
       "      <td>...</td>\n",
       "      <td>0.935793</td>\n",
       "      <td>2438.137147</td>\n",
       "      <td>0.998280</td>\n",
       "      <td>1658.747619</td>\n",
       "      <td>0.916054</td>\n",
       "      <td>2211.447571</td>\n",
       "      <td>0.957650</td>\n",
       "      <td>1708.742442</td>\n",
       "      <td>0.726950</td>\n",
       "      <td>3020.392326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>431.062988</td>\n",
       "      <td>15859.246060</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>501.269012</td>\n",
       "      <td>16022.293060</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>459.225006</td>\n",
       "      <td>16250.307070</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>505.743988</td>\n",
       "      <td>16399.620070</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>462.410004</td>\n",
       "      <td>16562.704070</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>133 rows × 45 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      one_width       one_up   two_width       two_up  three_width  \\\n",
       "0    145.158005  2086.010010  118.152000  1567.540039    87.562401   \n",
       "1    100.969002  2164.334412  120.550003  1631.144039    82.805199   \n",
       "2    110.647003  2218.566013   99.011200  1686.716740    95.650803   \n",
       "3    156.697998  2273.781815   98.988701  1744.477841   106.787003   \n",
       "4    124.931999  2335.795815  112.571999  1799.299839   109.776001   \n",
       "..          ...          ...         ...          ...          ...   \n",
       "128         NaN          NaN         NaN          NaN          NaN   \n",
       "129         NaN          NaN         NaN          NaN          NaN   \n",
       "130         NaN          NaN         NaN          NaN          NaN   \n",
       "131         NaN          NaN         NaN          NaN          NaN   \n",
       "132         NaN          NaN         NaN          NaN          NaN   \n",
       "\n",
       "        three_up  four_width       four_up  five_width      five_up  ...  \\\n",
       "0    3846.419922   23.733101   2653.350098   70.980499  1187.810059  ...   \n",
       "1    3914.050125   22.843800   2693.827797   58.208500  1255.854561  ...   \n",
       "2    3969.570427   27.539400   2728.825997   48.037201  1327.093163  ...   \n",
       "3    4030.011726   31.482100   2768.657196   67.996201  1399.649559  ...   \n",
       "4    4090.378925   44.275902   2804.243694   83.709297  1477.686661  ...   \n",
       "..           ...         ...           ...         ...          ...  ...   \n",
       "128          NaN  431.062988  15859.246060         NaN          NaN  ...   \n",
       "129          NaN  501.269012  16022.293060         NaN          NaN  ...   \n",
       "130          NaN  459.225006  16250.307070         NaN          NaN  ...   \n",
       "131          NaN  505.743988  16399.620070         NaN          NaN  ...   \n",
       "132          NaN  462.410004  16562.704070         NaN          NaN  ...   \n",
       "\n",
       "     five_width_norm_avg  five_up_avg  six_width_norm_avg   six_up_avg  \\\n",
       "0               0.889509  1187.810059            1.040861   687.552978   \n",
       "1               0.848540  1500.391831            0.987587   930.351639   \n",
       "2               0.861383  1812.973603            0.964421  1173.150299   \n",
       "3               0.892588  2125.555375            0.988396  1415.948959   \n",
       "4               0.935793  2438.137147            0.998280  1658.747619   \n",
       "..                   ...          ...                 ...          ...   \n",
       "128                  NaN          NaN                 NaN          NaN   \n",
       "129                  NaN          NaN                 NaN          NaN   \n",
       "130                  NaN          NaN                 NaN          NaN   \n",
       "131                  NaN          NaN                 NaN          NaN   \n",
       "132                  NaN          NaN                 NaN          NaN   \n",
       "\n",
       "     seven_width_norm_avg  seven_up_avg  eight_width_norm_avg  eight_up_avg  \\\n",
       "0                0.710835   1012.849976              0.911140    371.403015   \n",
       "1                0.747242   1312.499375              0.958185    705.737872   \n",
       "2                0.763680   1612.148773              0.957609   1040.072728   \n",
       "3                0.844472   1911.798172              0.951866   1374.407585   \n",
       "4                0.916054   2211.447571              0.957650   1708.742442   \n",
       "..                    ...           ...                   ...           ...   \n",
       "128                   NaN           NaN                   NaN           NaN   \n",
       "129                   NaN           NaN                   NaN           NaN   \n",
       "130                   NaN           NaN                   NaN           NaN   \n",
       "131                   NaN           NaN                   NaN           NaN   \n",
       "132                   NaN           NaN                   NaN           NaN   \n",
       "\n",
       "     nine_width_norm_avg  nine_up_avg  \n",
       "0               0.623498  2038.140015  \n",
       "1               0.654088  2283.703093  \n",
       "2               0.692895  2529.266170  \n",
       "3               0.707892  2774.829248  \n",
       "4               0.726950  3020.392326  \n",
       "..                   ...          ...  \n",
       "128                  NaN          NaN  \n",
       "129                  NaN          NaN  \n",
       "130                  NaN          NaN  \n",
       "131                  NaN          NaN  \n",
       "132                  NaN          NaN  \n",
       "\n",
       "[133 rows x 45 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Function to compute the mean for the first 1/3 of rows in each *_width column, ignoring NaN values\n",
    "def compute_characteristic_widths(df):\n",
    "    belt_numbers = [\"one\", \"two\", \"three\", \"four\", \"five\", \"six\", \"seven\", \"eight\", \"nine\"]\n",
    "    char_widths = {}\n",
    "\n",
    "    for belt in belt_numbers:\n",
    "        width_col = f\"{belt}_width\"\n",
    "\n",
    "        # Drop NaN values and select the first 1/3 of rows\n",
    "        valid_widths = df[width_col].dropna()\n",
    "        subset_size = len(valid_widths) // 3\n",
    "        width_subset = valid_widths.iloc[:subset_size]\n",
    "\n",
    "        # Compute the mean and round to the nearest integer\n",
    "        char_width = round(width_subset.mean())\n",
    "        char_widths[f\"{belt}_char_width\"] = char_width\n",
    "\n",
    "        # Normalize the column and save it as *_width_norm\n",
    "        norm_col = f\"{belt}_width_norm\"\n",
    "        df[norm_col] = df[width_col] / char_width if char_width != 0 else np.nan\n",
    "\n",
    "    return char_widths\n",
    "\n",
    "# Recompute the characteristic widths while ignoring NaN values\n",
    "char_widths = compute_characteristic_widths(mars_df)\n",
    "\n",
    "#mars moving box average calculation\n",
    "def mars_moving_box_average(df, box_width=3000):\n",
    "    \"\"\"\n",
    "    Computes a moving box average for all paired width-related columns in mars_df, using a distance-based method.\n",
    "    Adapts the number of evaluation points based on the dataset.\n",
    "\n",
    "    Parameters:\n",
    "    df (pd.DataFrame): Input dataframe with width and normalized width columns.\n",
    "    box_width (float, optional): Width of the moving average box (meters). Default is 1000.\n",
    "\n",
    "    Returns:\n",
    "    pd.DataFrame: A new DataFrame with the moving averages added.\n",
    "    \"\"\"\n",
    "    # Create a dictionary to store results separately before merging\n",
    "    results = {}\n",
    "\n",
    "    # Identify normalized width columns (*_width_norm)\n",
    "    width_cols = [col for col in df.columns if col.endswith(\"_width_norm\")]\n",
    "\n",
    "    for col in width_cols:\n",
    "        up_col = col.replace(\"_width_norm\", \"_up\")  # Get corresponding upstream column\n",
    "\n",
    "        if up_col in df.columns:\n",
    "            # Define moving average center points adaptively\n",
    "            min_up, max_up = df[up_col].min(), df[up_col].max()\n",
    "            total_upstream_range = max_up - min_up\n",
    "\n",
    "            # Adaptive num_evals calculation\n",
    "            num_evals = int(min(500, max(50, total_upstream_range / (box_width / 2))))\n",
    "            centers = np.linspace(min_up, max_up, num_evals)\n",
    "\n",
    "            width_avgs = []\n",
    "\n",
    "            for center in centers:\n",
    "                lower_edge, upper_edge = center - box_width / 2, center + box_width / 2\n",
    "                mask = (df[up_col] >= lower_edge) & (df[up_col] <= upper_edge)\n",
    "\n",
    "                if mask.any():\n",
    "                    width_avgs.append(df.loc[mask, col].mean())  # Compute mean width within window\n",
    "                else:\n",
    "                    width_avgs.append(np.nan)\n",
    "\n",
    "            # Store results in the dictionary\n",
    "            results[f\"{col}_avg\"] = width_avgs  # Moving average of width\n",
    "            results[f\"{col.replace('_width_norm', '_up_avg')}\"] = centers  # Moving average of distance\n",
    "\n",
    "    # Convert results into a new DataFrame\n",
    "    results_df = pd.DataFrame(results)\n",
    "\n",
    "    # Merge results into the original dataframe\n",
    "    df = df.copy()  # Avoid modifying original DataFrame\n",
    "    for col in results_df.columns:\n",
    "        df[col] = np.nan  # Initialize new columns\n",
    "        df.loc[:len(results_df) - 1, col] = results_df[col]  # Assign values properly\n",
    "\n",
    "    return df\n",
    "\n",
    "mars_df = mars_moving_box_average(mars_df)\n",
    "mars_df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 657,
   "metadata": {},
   "outputs": [],
   "source": [
    "mars_df.to_csv('test.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'one': {'x_min': 10312.256663877552,\n",
       "  'x_max': 14051.459688367348,\n",
       "  'mean_up': 12181.858176122449},\n",
       " 'two': {'x_min': 7301.029083530611,\n",
       "  'x_max': 10949.613020959183,\n",
       "  'mean_up': 9125.321052244897},\n",
       " 'three': {'x_min': 11899.375517755103,\n",
       "  'x_max': 16596.932948612244,\n",
       "  'mean_up': 14248.154233183674},\n",
       " 'four': {'x_min': 5775.858132530612,\n",
       "  'x_max': 8614.501800285714,\n",
       "  'mean_up': 7195.179966408163},\n",
       " 'five': {'x_min': 7439.445500224489,\n",
       "  'x_max': 10877.844992897957,\n",
       "  'mean_up': 9158.645246561222},\n",
       " 'six': {'x_min': 5300.727519081633,\n",
       "  'x_max': 7000.318139295919,\n",
       "  'mean_up': 6150.522829188776},\n",
       " 'seven': {'x_min': 6406.539151755102,\n",
       "  'x_max': 9702.682536938775,\n",
       "  'mean_up': 8054.610844346938},\n",
       " 'eight': {'x_min': 7392.435004342857,\n",
       "  'x_max': 11070.118427279593,\n",
       "  'mean_up': 9231.276715811226},\n",
       " 'nine': {'x_min': 6212.712335102041,\n",
       "  'x_max': 8177.216956326531,\n",
       "  'mean_up': 7194.964645714285}}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def mars_calculate_bwbww_windows(df, y_limits=(2, 6)):\n",
    "    \"\"\"\n",
    "    Calculates the backwater/belt-width window for all channel belts based on specified y-limits,\n",
    "    using moving averages instead of raw data. Also records the mean and median upstream distance.\n",
    "\n",
    "    Parameters:\n",
    "    df (pd.DataFrame): DataFrame containing moving average width and upstream distance columns.\n",
    "    y_limits (tuple): y-axis limits (min, max) to project onto the x-axis.\n",
    "\n",
    "    Returns:\n",
    "    dict: A dictionary with x_min, x_max, mean upstream distance, and median upstream distance for each belt.\n",
    "    \"\"\"\n",
    "    belt_numbers = [\"one\", \"two\", \"three\", \"four\", \"five\", \"six\", \"seven\", \"eight\", \"nine\"]\n",
    "    windows = {}\n",
    "\n",
    "    for belt in belt_numbers:\n",
    "        # Define column names for moving average data\n",
    "        width_avg_col = f\"{belt}_width_norm_avg\"\n",
    "        up_avg_col = f\"{belt}_up_avg\"\n",
    "\n",
    "        # Ensure both columns exist in the DataFrame\n",
    "        if width_avg_col in df.columns and up_avg_col in df.columns:\n",
    "            # Extract and filter the data using moving averages\n",
    "            belt_data = df[[width_avg_col, up_avg_col]].dropna()\n",
    "            filtered_data = belt_data[\n",
    "                (belt_data[width_avg_col] >= y_limits[0]) &\n",
    "                (belt_data[width_avg_col] <= y_limits[1])\n",
    "            ]\n",
    "\n",
    "            if not filtered_data.empty:\n",
    "                # Calculate x_min, x_max, mean, and median upstream distance\n",
    "                x_min = filtered_data[up_avg_col].min()\n",
    "                x_max = filtered_data[up_avg_col].max()\n",
    "                mean_up = filtered_data[up_avg_col].mean()  # Mean of upstream distance\n",
    "                median_up = filtered_data[up_avg_col].median()  # Median of upstream distance\n",
    "            else:\n",
    "                # If no data is within y_limits, set values to None\n",
    "                x_min, x_max, mean_up, median_up = None, None, None, None\n",
    "\n",
    "            # Store results in the dictionary\n",
    "            windows[belt] = {\n",
    "                \"x_min\": x_min,\n",
    "                \"x_max\": x_max,\n",
    "                \"mean_up\": mean_up,\n",
    "            }\n",
    "        else:\n",
    "            # Handle missing columns gracefully\n",
    "            windows[belt] = {\"x_min\": None, \"x_max\": None, \"mean_up\": None, \"median_up\": None}\n",
    "\n",
    "    return windows\n",
    "\n",
    "# Calculate the windows for all belts using moving averages\n",
    "bwbww_windows = mars_calculate_bwbww_windows(mars_df, y_limits=(2, 6))\n",
    "\n",
    "# Display the results\n",
    "bwbww_windows\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>x_min</th>\n",
       "      <th>x_max</th>\n",
       "      <th>mean_up</th>\n",
       "      <th>uncertainty</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>one</th>\n",
       "      <td>10300.0</td>\n",
       "      <td>14100.0</td>\n",
       "      <td>12200.0</td>\n",
       "      <td>3800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>two</th>\n",
       "      <td>7300.0</td>\n",
       "      <td>10900.0</td>\n",
       "      <td>9100.0</td>\n",
       "      <td>3600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>three</th>\n",
       "      <td>11900.0</td>\n",
       "      <td>16600.0</td>\n",
       "      <td>14200.0</td>\n",
       "      <td>4700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>four</th>\n",
       "      <td>5800.0</td>\n",
       "      <td>8600.0</td>\n",
       "      <td>7200.0</td>\n",
       "      <td>2800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>five</th>\n",
       "      <td>7400.0</td>\n",
       "      <td>10900.0</td>\n",
       "      <td>9200.0</td>\n",
       "      <td>3500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>six</th>\n",
       "      <td>5300.0</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>6200.0</td>\n",
       "      <td>1700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>seven</th>\n",
       "      <td>6400.0</td>\n",
       "      <td>9700.0</td>\n",
       "      <td>8100.0</td>\n",
       "      <td>3300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>eight</th>\n",
       "      <td>7400.0</td>\n",
       "      <td>11100.0</td>\n",
       "      <td>9200.0</td>\n",
       "      <td>3700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nine</th>\n",
       "      <td>6200.0</td>\n",
       "      <td>8200.0</td>\n",
       "      <td>7200.0</td>\n",
       "      <td>2000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         x_min    x_max  mean_up  uncertainty\n",
       "one    10300.0  14100.0  12200.0       3800.0\n",
       "two     7300.0  10900.0   9100.0       3600.0\n",
       "three  11900.0  16600.0  14200.0       4700.0\n",
       "four    5800.0   8600.0   7200.0       2800.0\n",
       "five    7400.0  10900.0   9200.0       3500.0\n",
       "six     5300.0   7000.0   6200.0       1700.0\n",
       "seven   6400.0   9700.0   8100.0       3300.0\n",
       "eight   7400.0  11100.0   9200.0       3700.0\n",
       "nine    6200.0   8200.0   7200.0       2000.0"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Process the results dynamically\n",
    "rounded_data = {\n",
    "    key: {k: round(v, -2) if v is not None else None for k, v in value.items()}\n",
    "    for key, value in bwbww_windows.items()\n",
    "}\n",
    "\n",
    "# Convert to DataFrame\n",
    "df = pd.DataFrame.from_dict(rounded_data, orient=\"index\")\n",
    "\n",
    "# Compute uncertainty\n",
    "df[\"uncertainty\"] = df[\"x_max\"] - df[\"x_min\"]\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x1500 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "\n",
    "def plot_mars_bwbww_windows(df, bwbww_windows):\n",
    "    \"\"\"\n",
    "    Creates a 3x3 subplot visualization of the backwater/belt-width window projection\n",
    "    for all nine belts, using both raw data and moving averages.\n",
    "\n",
    "    Parameters:\n",
    "    df (pd.DataFrame): DataFrame containing raw and moving average width and upstream distance columns.\n",
    "    bwbww_windows (dict): Dictionary with x_min and x_max values for each belt.\n",
    "    \"\"\"\n",
    "    belt_numbers = [\"one\", \"two\", \"three\", \"four\", \"five\", \"six\", \"seven\", \"eight\", \"nine\"]\n",
    "    fig, axes = plt.subplots(3, 3, figsize=(15, 15), sharex=False, sharey=False)\n",
    "    axes = axes.flatten()  # Flatten to iterate easily\n",
    "\n",
    "    for i, belt in enumerate(belt_numbers):\n",
    "        width_col = f\"{belt}_width_norm\"\n",
    "        up_col = f\"{belt}_up\"\n",
    "        width_avg_col = f\"{belt}_width_norm_avg\"\n",
    "        up_avg_col = f\"{belt}_up_avg\"\n",
    "\n",
    "        if width_avg_col in df.columns and up_avg_col in df.columns and width_col in df.columns and up_col in df.columns:\n",
    "            belt_data_raw = df[[width_col, up_col]].dropna()\n",
    "            belt_data_avg = df[[width_avg_col, up_avg_col]].dropna()\n",
    "\n",
    "            # Get x-range from computed backwater/belt-width window\n",
    "            x_min, x_max = bwbww_windows[belt][\"x_min\"], bwbww_windows[belt][\"x_max\"]\n",
    "\n",
    "            ax = axes[i]\n",
    "\n",
    "            ax.axhspan(2, 6, color=\"green\", alpha=0.3)\n",
    "            # Shade the projected x-range if valid values exist\n",
    "            if x_min is not None and x_max is not None:\n",
    "                ax.axvspan(x_min, x_max, color=\"green\", alpha=0.3, label=\"Projected x-range\" if i == 0 else \"_nolegend_\")\n",
    "                # rounded_x_min, rounded_x_max = round(x_min, -3), round(x_max, -3)\n",
    "                # ax.text(x_min + 500, ax.get_ylim()[1] - 2, f\"x_min: {rounded_x_min}\\nx_max: {rounded_x_max}\", \n",
    "                #     fontsize=10, color=\"black\", ha='right', va='top', \n",
    "                #     bbox=dict(facecolor='white', alpha=0.5, edgecolor='none'))\n",
    "\n",
    "            # Set fixed y-limits for the box\n",
    "            y_min, y_max = 2, 6\n",
    "\n",
    "            # Round x_min and x_max to the nearest hectometer\n",
    "            if x_min is not None and x_max is not None:\n",
    "                lower_x_threshold = round(x_min, -2)\n",
    "                upper_x_threshold = round(x_max, -2)\n",
    "                \n",
    "                # Define the rectangle vertices\n",
    "                verts = [\n",
    "                    (lower_x_threshold, y_min),\n",
    "                    (lower_x_threshold, y_max),\n",
    "                    (upper_x_threshold, y_max),\n",
    "                    (upper_x_threshold, y_min),\n",
    "                    (lower_x_threshold, y_min)  # Close the polygon\n",
    "                ]\n",
    "\n",
    "                codes = [Path.MOVETO, Path.LINETO, Path.LINETO, Path.LINETO, Path.CLOSEPOLY]\n",
    "                path = Path(verts, codes)\n",
    "                patch = PathPatch(path, facecolor='plum', edgecolor='black', linewidth=1.5, label=\"BWBWW\")\n",
    "                patch.set_label('_nolegend_')\n",
    "                ax.add_patch(patch)\n",
    "\n",
    "            # Plot the raw data as scatter points\n",
    "            ax.scatter(\n",
    "                belt_data_raw[up_col],\n",
    "                belt_data_raw[width_col],\n",
    "                color=\"tab:blue\", marker=\".\", label=f\"{belt.capitalize()} Raw Data\"\n",
    "            )\n",
    "\n",
    "            # Plot the moving average\n",
    "            ax.plot(\n",
    "                belt_data_avg[up_avg_col],\n",
    "                belt_data_avg[width_avg_col],\n",
    "                color=\"black\",\n",
    "                label=f\"{belt.capitalize()} Moving Avg\",\n",
    "            )\n",
    "\n",
    "            ax.locator_params(axis='x', nbins=6)  # Reduce number of x-axis ticks\n",
    "            ax.locator_params(axis='y', nbins=5)  \n",
    "            ax.tick_params(axis='both', which='major', labelsize=14)\n",
    "            ax.set_title(f\"Mars Belt {belt.capitalize()}\", fontsize=16)\n",
    "\n",
    "    plt.tight_layout(rect=[0, 0, 0.95, 1])  # Adjust layout to fit legend\n",
    "    plt.savefig(\"methods_2-3-25.png\", dpi=600, bbox_inches=\"tight\")\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "plot_mars_bwbww_windows(mars_df, bwbww_windows)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 515,
   "metadata": {},
   "outputs": [],
   "source": [
    "mars_df.to_csv(\"to_combine_mars.csv\", index=False)\n",
    "earth_df.to_csv(\"to_combine_earth.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>one_width</th>\n",
       "      <th>one_up</th>\n",
       "      <th>two_width</th>\n",
       "      <th>two_up</th>\n",
       "      <th>three_width</th>\n",
       "      <th>three_up</th>\n",
       "      <th>four_width</th>\n",
       "      <th>four_up</th>\n",
       "      <th>five_width</th>\n",
       "      <th>five_up</th>\n",
       "      <th>...</th>\n",
       "      <th>nine_up_avg</th>\n",
       "      <th>one_bw_norm</th>\n",
       "      <th>two_bw_norm</th>\n",
       "      <th>three_bw_norm</th>\n",
       "      <th>four_bw_norm</th>\n",
       "      <th>five_bw_norm</th>\n",
       "      <th>six_bw_norm</th>\n",
       "      <th>seven_bw_norm</th>\n",
       "      <th>eight_bw_norm</th>\n",
       "      <th>nine_bw_norm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>145.158005</td>\n",
       "      <td>2086.010010</td>\n",
       "      <td>118.152000</td>\n",
       "      <td>1567.540039</td>\n",
       "      <td>87.562401</td>\n",
       "      <td>3846.419922</td>\n",
       "      <td>23.733101</td>\n",
       "      <td>2653.350098</td>\n",
       "      <td>70.980499</td>\n",
       "      <td>1187.810059</td>\n",
       "      <td>...</td>\n",
       "      <td>2038.140015</td>\n",
       "      <td>0.171239</td>\n",
       "      <td>0.171779</td>\n",
       "      <td>0.269959</td>\n",
       "      <td>0.368768</td>\n",
       "      <td>0.129693</td>\n",
       "      <td>0.111788</td>\n",
       "      <td>0.125748</td>\n",
       "      <td>0.040233</td>\n",
       "      <td>0.283273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100.969002</td>\n",
       "      <td>2164.334412</td>\n",
       "      <td>120.550003</td>\n",
       "      <td>1631.144039</td>\n",
       "      <td>82.805199</td>\n",
       "      <td>3914.050125</td>\n",
       "      <td>22.843800</td>\n",
       "      <td>2693.827797</td>\n",
       "      <td>58.208500</td>\n",
       "      <td>1255.854561</td>\n",
       "      <td>...</td>\n",
       "      <td>2283.703093</td>\n",
       "      <td>0.177669</td>\n",
       "      <td>0.178749</td>\n",
       "      <td>0.274706</td>\n",
       "      <td>0.374393</td>\n",
       "      <td>0.137122</td>\n",
       "      <td>0.123716</td>\n",
       "      <td>0.142450</td>\n",
       "      <td>0.060527</td>\n",
       "      <td>0.298107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>110.647003</td>\n",
       "      <td>2218.566013</td>\n",
       "      <td>99.011200</td>\n",
       "      <td>1686.716740</td>\n",
       "      <td>95.650803</td>\n",
       "      <td>3969.570427</td>\n",
       "      <td>27.539400</td>\n",
       "      <td>2728.825997</td>\n",
       "      <td>48.037201</td>\n",
       "      <td>1327.093163</td>\n",
       "      <td>...</td>\n",
       "      <td>2529.266170</td>\n",
       "      <td>0.182120</td>\n",
       "      <td>0.184839</td>\n",
       "      <td>0.278602</td>\n",
       "      <td>0.379258</td>\n",
       "      <td>0.144901</td>\n",
       "      <td>0.134730</td>\n",
       "      <td>0.154606</td>\n",
       "      <td>0.078898</td>\n",
       "      <td>0.311099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>156.697998</td>\n",
       "      <td>2273.781815</td>\n",
       "      <td>98.988701</td>\n",
       "      <td>1744.477841</td>\n",
       "      <td>106.787003</td>\n",
       "      <td>4030.011726</td>\n",
       "      <td>31.482100</td>\n",
       "      <td>2768.657196</td>\n",
       "      <td>67.996201</td>\n",
       "      <td>1399.649559</td>\n",
       "      <td>...</td>\n",
       "      <td>2774.829248</td>\n",
       "      <td>0.186653</td>\n",
       "      <td>0.191169</td>\n",
       "      <td>0.282844</td>\n",
       "      <td>0.384793</td>\n",
       "      <td>0.152823</td>\n",
       "      <td>0.146833</td>\n",
       "      <td>0.167179</td>\n",
       "      <td>0.096421</td>\n",
       "      <td>0.324706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>124.931999</td>\n",
       "      <td>2335.795815</td>\n",
       "      <td>112.571999</td>\n",
       "      <td>1799.299839</td>\n",
       "      <td>109.776001</td>\n",
       "      <td>4090.378925</td>\n",
       "      <td>44.275902</td>\n",
       "      <td>2804.243694</td>\n",
       "      <td>83.709297</td>\n",
       "      <td>1477.686661</td>\n",
       "      <td>...</td>\n",
       "      <td>3020.392326</td>\n",
       "      <td>0.191744</td>\n",
       "      <td>0.197177</td>\n",
       "      <td>0.287081</td>\n",
       "      <td>0.389739</td>\n",
       "      <td>0.161343</td>\n",
       "      <td>0.158565</td>\n",
       "      <td>0.178499</td>\n",
       "      <td>0.119011</td>\n",
       "      <td>0.337207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>431.062988</td>\n",
       "      <td>15859.246060</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.204149</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>501.269012</td>\n",
       "      <td>16022.293060</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.226809</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>459.225006</td>\n",
       "      <td>16250.307070</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.258499</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>505.743988</td>\n",
       "      <td>16399.620070</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.279251</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>462.410004</td>\n",
       "      <td>16562.704070</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.301917</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>133 rows × 54 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      one_width       one_up   two_width       two_up  three_width  \\\n",
       "0    145.158005  2086.010010  118.152000  1567.540039    87.562401   \n",
       "1    100.969002  2164.334412  120.550003  1631.144039    82.805199   \n",
       "2    110.647003  2218.566013   99.011200  1686.716740    95.650803   \n",
       "3    156.697998  2273.781815   98.988701  1744.477841   106.787003   \n",
       "4    124.931999  2335.795815  112.571999  1799.299839   109.776001   \n",
       "..          ...          ...         ...          ...          ...   \n",
       "128         NaN          NaN         NaN          NaN          NaN   \n",
       "129         NaN          NaN         NaN          NaN          NaN   \n",
       "130         NaN          NaN         NaN          NaN          NaN   \n",
       "131         NaN          NaN         NaN          NaN          NaN   \n",
       "132         NaN          NaN         NaN          NaN          NaN   \n",
       "\n",
       "        three_up  four_width       four_up  five_width      five_up  ...  \\\n",
       "0    3846.419922   23.733101   2653.350098   70.980499  1187.810059  ...   \n",
       "1    3914.050125   22.843800   2693.827797   58.208500  1255.854561  ...   \n",
       "2    3969.570427   27.539400   2728.825997   48.037201  1327.093163  ...   \n",
       "3    4030.011726   31.482100   2768.657196   67.996201  1399.649559  ...   \n",
       "4    4090.378925   44.275902   2804.243694   83.709297  1477.686661  ...   \n",
       "..           ...         ...           ...         ...          ...  ...   \n",
       "128          NaN  431.062988  15859.246060         NaN          NaN  ...   \n",
       "129          NaN  501.269012  16022.293060         NaN          NaN  ...   \n",
       "130          NaN  459.225006  16250.307070         NaN          NaN  ...   \n",
       "131          NaN  505.743988  16399.620070         NaN          NaN  ...   \n",
       "132          NaN  462.410004  16562.704070         NaN          NaN  ...   \n",
       "\n",
       "     nine_up_avg  one_bw_norm  two_bw_norm  three_bw_norm  four_bw_norm  \\\n",
       "0    2038.140015     0.171239     0.171779       0.269959      0.368768   \n",
       "1    2283.703093     0.177669     0.178749       0.274706      0.374393   \n",
       "2    2529.266170     0.182120     0.184839       0.278602      0.379258   \n",
       "3    2774.829248     0.186653     0.191169       0.282844      0.384793   \n",
       "4    3020.392326     0.191744     0.197177       0.287081      0.389739   \n",
       "..           ...          ...          ...            ...           ...   \n",
       "128          NaN          NaN          NaN            NaN      2.204149   \n",
       "129          NaN          NaN          NaN            NaN      2.226809   \n",
       "130          NaN          NaN          NaN            NaN      2.258499   \n",
       "131          NaN          NaN          NaN            NaN      2.279251   \n",
       "132          NaN          NaN          NaN            NaN      2.301917   \n",
       "\n",
       "     five_bw_norm  six_bw_norm  seven_bw_norm  eight_bw_norm  nine_bw_norm  \n",
       "0        0.129693     0.111788       0.125748       0.040233      0.283273  \n",
       "1        0.137122     0.123716       0.142450       0.060527      0.298107  \n",
       "2        0.144901     0.134730       0.154606       0.078898      0.311099  \n",
       "3        0.152823     0.146833       0.167179       0.096421      0.324706  \n",
       "4        0.161343     0.158565       0.178499       0.119011      0.337207  \n",
       "..            ...          ...            ...            ...           ...  \n",
       "128           NaN          NaN            NaN            NaN           NaN  \n",
       "129           NaN          NaN            NaN            NaN           NaN  \n",
       "130           NaN          NaN            NaN            NaN           NaN  \n",
       "131           NaN          NaN            NaN            NaN           NaN  \n",
       "132           NaN          NaN            NaN            NaN           NaN  \n",
       "\n",
       "[133 rows x 54 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def normalize_mars_by_backwater(mars_df, bwbww_windows):\n",
    "    \"\"\"\n",
    "    Normalizes the *_up columns in mars_df by the mean backwater length\n",
    "    from the provided bwbww_windows dictionary.\n",
    "\n",
    "    Parameters:\n",
    "    mars_df (pd.DataFrame): The Mars dataset containing *_up columns.\n",
    "    bwbww_windows (dict): Dictionary with backwater window values, including 'mean_up'.\n",
    "\n",
    "    Returns:\n",
    "    pd.DataFrame: The Mars dataset with new *_bw_norm columns.\n",
    "    \"\"\"\n",
    "    mars_df = mars_df.copy()  # Avoid modifying the original dataframe\n",
    "\n",
    "    for key, values in bwbww_windows.items():\n",
    "        up_col = f\"{key}_up\"\n",
    "        bw_norm_col = f\"{key}_bw_norm\"\n",
    "\n",
    "        if up_col in mars_df.columns and \"mean_up\" in values:\n",
    "            mean_bw_length = values[\"mean_up\"]\n",
    "            mars_df[bw_norm_col] = mars_df[up_col] / mean_bw_length if mean_bw_length != 0 else np.nan\n",
    "\n",
    "    return mars_df\n",
    "\n",
    "# Example usage (assuming mars_df is available)\n",
    "mars_df = normalize_mars_by_backwater(mars_df, bwbww_windows)\n",
    "mars_df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>one_width</th>\n",
       "      <th>one_up</th>\n",
       "      <th>two_width</th>\n",
       "      <th>two_up</th>\n",
       "      <th>three_width</th>\n",
       "      <th>three_up</th>\n",
       "      <th>four_width</th>\n",
       "      <th>four_up</th>\n",
       "      <th>five_width</th>\n",
       "      <th>five_up</th>\n",
       "      <th>...</th>\n",
       "      <th>nine_bw_norm</th>\n",
       "      <th>one_bw_norm_avg</th>\n",
       "      <th>two_bw_norm_avg</th>\n",
       "      <th>three_bw_norm_avg</th>\n",
       "      <th>four_bw_norm_avg</th>\n",
       "      <th>five_bw_norm_avg</th>\n",
       "      <th>six_bw_norm_avg</th>\n",
       "      <th>seven_bw_norm_avg</th>\n",
       "      <th>eight_bw_norm_avg</th>\n",
       "      <th>nine_bw_norm_avg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>145.158005</td>\n",
       "      <td>2086.010010</td>\n",
       "      <td>118.152000</td>\n",
       "      <td>1567.540039</td>\n",
       "      <td>87.562401</td>\n",
       "      <td>3846.419922</td>\n",
       "      <td>23.733101</td>\n",
       "      <td>2653.350098</td>\n",
       "      <td>70.980499</td>\n",
       "      <td>1187.810059</td>\n",
       "      <td>...</td>\n",
       "      <td>0.283273</td>\n",
       "      <td>0.223134</td>\n",
       "      <td>0.243081</td>\n",
       "      <td>0.317661</td>\n",
       "      <td>0.465318</td>\n",
       "      <td>0.206949</td>\n",
       "      <td>0.221072</td>\n",
       "      <td>0.213883</td>\n",
       "      <td>0.117528</td>\n",
       "      <td>0.375406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100.969002</td>\n",
       "      <td>2164.334412</td>\n",
       "      <td>120.550003</td>\n",
       "      <td>1631.144039</td>\n",
       "      <td>82.805199</td>\n",
       "      <td>3914.050125</td>\n",
       "      <td>22.843800</td>\n",
       "      <td>2693.827797</td>\n",
       "      <td>58.208500</td>\n",
       "      <td>1255.854561</td>\n",
       "      <td>...</td>\n",
       "      <td>0.298107</td>\n",
       "      <td>0.233158</td>\n",
       "      <td>0.257886</td>\n",
       "      <td>0.327418</td>\n",
       "      <td>0.483356</td>\n",
       "      <td>0.225466</td>\n",
       "      <td>0.242445</td>\n",
       "      <td>0.227203</td>\n",
       "      <td>0.127496</td>\n",
       "      <td>0.393123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>110.647003</td>\n",
       "      <td>2218.566013</td>\n",
       "      <td>99.011200</td>\n",
       "      <td>1686.716740</td>\n",
       "      <td>95.650803</td>\n",
       "      <td>3969.570427</td>\n",
       "      <td>27.539400</td>\n",
       "      <td>2728.825997</td>\n",
       "      <td>48.037201</td>\n",
       "      <td>1327.093163</td>\n",
       "      <td>...</td>\n",
       "      <td>0.311099</td>\n",
       "      <td>0.243322</td>\n",
       "      <td>0.268108</td>\n",
       "      <td>0.343396</td>\n",
       "      <td>0.501854</td>\n",
       "      <td>0.243521</td>\n",
       "      <td>0.263498</td>\n",
       "      <td>0.248033</td>\n",
       "      <td>0.148880</td>\n",
       "      <td>0.411300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>156.697998</td>\n",
       "      <td>2273.781815</td>\n",
       "      <td>98.988701</td>\n",
       "      <td>1744.477841</td>\n",
       "      <td>106.787003</td>\n",
       "      <td>4030.011726</td>\n",
       "      <td>31.482100</td>\n",
       "      <td>2768.657196</td>\n",
       "      <td>67.996201</td>\n",
       "      <td>1399.649559</td>\n",
       "      <td>...</td>\n",
       "      <td>0.324706</td>\n",
       "      <td>0.253594</td>\n",
       "      <td>0.283599</td>\n",
       "      <td>0.352882</td>\n",
       "      <td>0.520442</td>\n",
       "      <td>0.257249</td>\n",
       "      <td>0.284570</td>\n",
       "      <td>0.262713</td>\n",
       "      <td>0.160027</td>\n",
       "      <td>0.429354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>124.931999</td>\n",
       "      <td>2335.795815</td>\n",
       "      <td>112.571999</td>\n",
       "      <td>1799.299839</td>\n",
       "      <td>109.776001</td>\n",
       "      <td>4090.378925</td>\n",
       "      <td>44.275902</td>\n",
       "      <td>2804.243694</td>\n",
       "      <td>83.709297</td>\n",
       "      <td>1477.686661</td>\n",
       "      <td>...</td>\n",
       "      <td>0.337207</td>\n",
       "      <td>0.263782</td>\n",
       "      <td>0.298769</td>\n",
       "      <td>0.365623</td>\n",
       "      <td>0.524772</td>\n",
       "      <td>0.271583</td>\n",
       "      <td>0.305691</td>\n",
       "      <td>0.278094</td>\n",
       "      <td>0.182526</td>\n",
       "      <td>0.447496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>431.062988</td>\n",
       "      <td>15859.246060</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>501.269012</td>\n",
       "      <td>16022.293060</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>459.225006</td>\n",
       "      <td>16250.307070</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>505.743988</td>\n",
       "      <td>16399.620070</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>462.410004</td>\n",
       "      <td>16562.704070</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>133 rows × 63 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      one_width       one_up   two_width       two_up  three_width  \\\n",
       "0    145.158005  2086.010010  118.152000  1567.540039    87.562401   \n",
       "1    100.969002  2164.334412  120.550003  1631.144039    82.805199   \n",
       "2    110.647003  2218.566013   99.011200  1686.716740    95.650803   \n",
       "3    156.697998  2273.781815   98.988701  1744.477841   106.787003   \n",
       "4    124.931999  2335.795815  112.571999  1799.299839   109.776001   \n",
       "..          ...          ...         ...          ...          ...   \n",
       "128         NaN          NaN         NaN          NaN          NaN   \n",
       "129         NaN          NaN         NaN          NaN          NaN   \n",
       "130         NaN          NaN         NaN          NaN          NaN   \n",
       "131         NaN          NaN         NaN          NaN          NaN   \n",
       "132         NaN          NaN         NaN          NaN          NaN   \n",
       "\n",
       "        three_up  four_width       four_up  five_width      five_up  ...  \\\n",
       "0    3846.419922   23.733101   2653.350098   70.980499  1187.810059  ...   \n",
       "1    3914.050125   22.843800   2693.827797   58.208500  1255.854561  ...   \n",
       "2    3969.570427   27.539400   2728.825997   48.037201  1327.093163  ...   \n",
       "3    4030.011726   31.482100   2768.657196   67.996201  1399.649559  ...   \n",
       "4    4090.378925   44.275902   2804.243694   83.709297  1477.686661  ...   \n",
       "..           ...         ...           ...         ...          ...  ...   \n",
       "128          NaN  431.062988  15859.246060         NaN          NaN  ...   \n",
       "129          NaN  501.269012  16022.293060         NaN          NaN  ...   \n",
       "130          NaN  459.225006  16250.307070         NaN          NaN  ...   \n",
       "131          NaN  505.743988  16399.620070         NaN          NaN  ...   \n",
       "132          NaN  462.410004  16562.704070         NaN          NaN  ...   \n",
       "\n",
       "     nine_bw_norm  one_bw_norm_avg  two_bw_norm_avg  three_bw_norm_avg  \\\n",
       "0        0.283273         0.223134         0.243081           0.317661   \n",
       "1        0.298107         0.233158         0.257886           0.327418   \n",
       "2        0.311099         0.243322         0.268108           0.343396   \n",
       "3        0.324706         0.253594         0.283599           0.352882   \n",
       "4        0.337207         0.263782         0.298769           0.365623   \n",
       "..            ...              ...              ...                ...   \n",
       "128           NaN              NaN              NaN                NaN   \n",
       "129           NaN              NaN              NaN                NaN   \n",
       "130           NaN              NaN              NaN                NaN   \n",
       "131           NaN              NaN              NaN                NaN   \n",
       "132           NaN              NaN              NaN                NaN   \n",
       "\n",
       "     four_bw_norm_avg  five_bw_norm_avg  six_bw_norm_avg  seven_bw_norm_avg  \\\n",
       "0            0.465318          0.206949         0.221072           0.213883   \n",
       "1            0.483356          0.225466         0.242445           0.227203   \n",
       "2            0.501854          0.243521         0.263498           0.248033   \n",
       "3            0.520442          0.257249         0.284570           0.262713   \n",
       "4            0.524772          0.271583         0.305691           0.278094   \n",
       "..                ...               ...              ...                ...   \n",
       "128               NaN               NaN              NaN                NaN   \n",
       "129               NaN               NaN              NaN                NaN   \n",
       "130               NaN               NaN              NaN                NaN   \n",
       "131               NaN               NaN              NaN                NaN   \n",
       "132               NaN               NaN              NaN                NaN   \n",
       "\n",
       "     eight_bw_norm_avg  nine_bw_norm_avg  \n",
       "0             0.117528          0.375406  \n",
       "1             0.127496          0.393123  \n",
       "2             0.148880          0.411300  \n",
       "3             0.160027          0.429354  \n",
       "4             0.182526          0.447496  \n",
       "..                 ...               ...  \n",
       "128                NaN               NaN  \n",
       "129                NaN               NaN  \n",
       "130                NaN               NaN  \n",
       "131                NaN               NaN  \n",
       "132                NaN               NaN  \n",
       "\n",
       "[133 rows x 63 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def normalized_mars_moving_box_average_bw(df, box_width=3000):\n",
    "    \"\"\"\n",
    "    Computes a moving box average for all paired backwater-related columns in mars_df, using a distance-based method.\n",
    "    Adapts the number of evaluation points based on the dataset.\n",
    "\n",
    "    Parameters:\n",
    "    df (pd.DataFrame): Input dataframe with backwater and upstream distance columns.\n",
    "    box_width (float, optional): Width of the moving average box (meters). Default is 3000.\n",
    "\n",
    "    Returns:\n",
    "    pd.DataFrame: A new DataFrame with the moving averages added.\n",
    "    \"\"\"\n",
    "    # Create a dictionary to store results before merging\n",
    "    results = {}\n",
    "\n",
    "    # Identify backwater-related columns (*_bw_norm)\n",
    "    bw_cols = [col for col in df.columns if col.endswith(\"_bw_norm\")]\n",
    "\n",
    "    for col in bw_cols:\n",
    "        up_col = col.replace(\"_bw_norm\", \"_up\")  # Get corresponding upstream column\n",
    "\n",
    "        if up_col in df.columns:\n",
    "            # Define moving average center points adaptively\n",
    "            min_up, max_up = df[up_col].min(), df[up_col].max()\n",
    "            total_upstream_range = max_up - min_up\n",
    "\n",
    "            # Adaptive num_evals calculation\n",
    "            num_evals = int(min(500, max(50, total_upstream_range / (box_width / 2))))\n",
    "            centers = np.linspace(min_up, max_up, num_evals)\n",
    "\n",
    "            bw_avgs = []\n",
    "\n",
    "            for center in centers:\n",
    "                lower_edge, upper_edge = center - box_width / 2, center + box_width / 2\n",
    "                mask = (df[up_col] >= lower_edge) & (df[up_col] <= upper_edge)\n",
    "\n",
    "                if mask.any():\n",
    "                    bw_avgs.append(df.loc[mask, col].mean())  # Compute mean within window\n",
    "                else:\n",
    "                    bw_avgs.append(np.nan)\n",
    "\n",
    "            # Store results in the dictionary\n",
    "            results[f\"{col}_avg\"] = bw_avgs  # Moving average of backwater-normalized values\n",
    "            results[f\"{col.replace('_bw_norm', '_up_avg')}\"] = centers  # Moving average of distance\n",
    "\n",
    "    # Convert results into a new DataFrame\n",
    "    results_df = pd.DataFrame(results)\n",
    "\n",
    "    # Merge results into the original dataframe\n",
    "    df = df.copy()  # Avoid modifying original DataFrame\n",
    "    for col in results_df.columns:\n",
    "        df[col] = np.nan  # Initialize new columns\n",
    "        df.loc[:len(results_df) - 1, col] = results_df[col]  # Assign values properly\n",
    "\n",
    "    return df\n",
    "\n",
    "mars_df = normalized_mars_moving_box_average_bw(mars_df)\n",
    "mars_df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 677,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Earth Data Columns: Index(['miss_up', 'miss_width', 'waal_up', 'waal_width', 'nederrijn-lek_up',\n",
      "       'nederrijn-lek_width', 'linge_up', 'linge_width', 'miss_width_norm',\n",
      "       'waal_width_norm', 'nederrijn_width_norm', 'linge_width_norm',\n",
      "       'miss_bw_norm', 'waal_bw_norm', 'nederrijn_bw_norm', 'linge_bw_norm',\n",
      "       'miss_width_norm_avg', 'miss_bw_avg', 'waal_width_norm_avg',\n",
      "       'waal_bw_avg', 'nederrijn_width_norm_avg', 'nederrijn_bw_avg',\n",
      "       'linge_width_norm_avg', 'linge_bw_avg'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print(\"Earth Data Columns:\", earth_df.columns)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Earth Data Columns: Index(['miss_up', 'miss_width', 'waal_up', 'waal_width', 'nederrijn-lek_up',\n",
      "       'nederrijn-lek_width', 'linge_up', 'linge_width', 'miss_width_norm',\n",
      "       'waal_width_norm', 'nederrijn_width_norm', 'linge_width_norm',\n",
      "       'miss_bw_norm', 'waal_bw_norm', 'nederrijn_bw_norm', 'linge_bw_norm',\n",
      "       'miss_width_norm_avg', 'miss_bw_avg', 'waal_width_norm_avg',\n",
      "       'waal_bw_avg', 'nederrijn_width_norm_avg', 'nederrijn_bw_avg',\n",
      "       'linge_width_norm_avg', 'linge_bw_avg'],\n",
      "      dtype='object')\n",
      "Plotting miss: miss_bw_avg vs miss_width_norm_avg\n",
      "miss_bw_avg sample: [0.05       0.0636904  0.07738081 0.09107121 0.10476161]\n",
      "miss_width_norm_avg sample: [0.90318623 0.90133047 0.90187324 0.93963228 0.97506221]\n",
      "Plotting waal: waal_bw_avg vs waal_width_norm_avg\n",
      "waal_bw_avg sample: [0.48790846 0.4924968  0.49708514 0.50167348 0.50626182]\n",
      "waal_width_norm_avg sample: [2.47602083 2.62776667 2.5647037  2.5647037  2.53159583]\n",
      "Plotting nederrijn: nederrijn_bw_avg vs nederrijn_width_norm_avg\n",
      "nederrijn_bw_avg sample: [0.58239437 0.58800834 0.59362232 0.5992363  0.60485027]\n",
      "nederrijn_width_norm_avg sample: [2.14526886 2.19003445 2.17648902 2.05659093 2.09707276]\n",
      "Plotting linge: linge_bw_avg vs linge_width_norm_avg\n",
      "linge_bw_avg sample: [0.90554356 0.90758954 0.90963551 0.91168149 0.91372746]\n",
      "linge_width_norm_avg sample: [2.15757579 2.29018428 2.29018428 2.29018428 2.29018428]\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "def combined_plot_moving_averages(mars_df, earth_df, ax=None):\n",
    "    if ax is None:\n",
    "        fig, ax = plt.subplots(figsize=(10, 6))\n",
    "    \n",
    "    # Define specific colors for each dataset\n",
    "    earth_colors = {\n",
    "        \"miss\": \"darkblue\",\n",
    "        \"waal\": \"darkorange\",\n",
    "        \"nederrijn\": \"darkred\",\n",
    "        \"linge\": \"black\"\n",
    "    }\n",
    "\n",
    "    mars_colors = {\n",
    "        \"one\": \"navy\",\n",
    "        \"two\": \"purple\",\n",
    "        \"three\": \"lime\",\n",
    "        \"four\": \"black\",\n",
    "        \"five\": \"hotpink\",\n",
    "        \"six\": \"orangered\",\n",
    "        \"seven\": \"fuchsia\",\n",
    "        \"eight\": \"crimson\",\n",
    "        \"nine\": \"green\"\n",
    "    }\n",
    "\n",
    "    print(\"Earth Data Columns:\", earth_df.columns)  # Debugging step\n",
    "\n",
    "    # Plot Earth raw data as hollow circles\n",
    "    for key, color in earth_colors.items():\n",
    "        bw_col = f\"{key}_bw_norm\"\n",
    "        width_col = f\"{key}_width_norm\"\n",
    "        if bw_col in earth_df.columns and width_col in earth_df.columns:\n",
    "            ax.plot(earth_df[bw_col], earth_df[width_col], '+', mfc='none', label='_nolegend_', color=color, alpha=0.15)\n",
    "\n",
    "    # Plot Earth moving averages (Fix: Use *_bw_avg instead of *_bw_norm_avg)\n",
    "    for key, color in earth_colors.items():\n",
    "        bw_col = f\"{key}_bw_avg\"  # FIXED\n",
    "        width_col = f\"{key}_width_norm_avg\"  # This is correct\n",
    "\n",
    "        if bw_col in earth_df.columns and width_col in earth_df.columns:\n",
    "            print(f\"Plotting {key}: {bw_col} vs {width_col}\")  # Debugging\n",
    "            print(f\"{bw_col} sample:\", earth_df[bw_col].dropna().values[:5])\n",
    "            print(f\"{width_col} sample:\", earth_df[width_col].dropna().values[:5])\n",
    "\n",
    "            # Sort and remove NaNs before plotting\n",
    "            plot_df = earth_df.sort_values(by=bw_col).dropna(subset=[bw_col, width_col])\n",
    "            ax.plot(plot_df[bw_col], plot_df[width_col], color=color, linewidth=3, alpha=0.15, label='_nolegend_')\n",
    "\n",
    "    # Plot Mars raw data as x's\n",
    "    for key, color in mars_colors.items():\n",
    "        bw_col = f\"{key}_bw_norm\"\n",
    "        width_col = f\"{key}_width_norm\"\n",
    "        if bw_col in mars_df.columns and width_col in mars_df.columns:\n",
    "            ax.plot(mars_df[bw_col], mars_df[width_col], 'x', markersize=10, label='_nolegend_', color=color)\n",
    "\n",
    "    # Plot Mars moving averages\n",
    "    for key, color in mars_colors.items():\n",
    "        bw_col = f\"{key}_bw_norm_avg\"\n",
    "        width_col = f\"{key}_width_norm_avg\"\n",
    "        if bw_col in mars_df.columns and width_col in mars_df.columns:\n",
    "            ax.plot(mars_df[bw_col], mars_df[width_col], color=color, linewidth=3, label=f\"Mars Belt {key.capitalize()}\")\n",
    "\n",
    "    # Highlight region\n",
    "    ax.axhspan(2, 6, facecolor='g', alpha=0.5)\n",
    "    ax.axvspan(0.97, 1.03, facecolor='g', alpha=0.5)\n",
    "\n",
    "    # Define the rectangle vertices\n",
    "    verts = [\n",
    "        (0.97, 2),\n",
    "        (0.97, 6),\n",
    "        (1.03, 6),\n",
    "        (1.03, 2),\n",
    "        (0.97, 2)  # Close the polygon\n",
    "    ]\n",
    "    codes = [Path.MOVETO, Path.LINETO, Path.LINETO, Path.LINETO, Path.CLOSEPOLY]\n",
    "    path = Path(verts, codes)\n",
    "    patch = PathPatch(path, facecolor='plum', edgecolor='black', linewidth=1.5)\n",
    "    patch.set_label('_nolegend_')\n",
    "\n",
    "    ax.add_patch(patch)\n",
    "\n",
    "    # Formatting\n",
    "    ax.legend(fontsize=12, frameon=False)\n",
    "    ax.set_xlabel(\"distance upstream / backwater length\", fontsize=20)\n",
    "    ax.set_ylabel(\"belt-width / channel width\", fontsize=20)\n",
    "    ax.set_ylim(0, 15)\n",
    "    ax.set_xlim(0, 2)\n",
    "    ax.locator_params(axis='x', nbins=5)  # Reduce number of x-axis ticks\n",
    "    ax.locator_params(axis='y', nbins=8) \n",
    "    ax.tick_params(axis='both', which='major', labelsize=16)\n",
    "    plt.tight_layout()\n",
    "    #plt.savefig(\"combineddata_wide_2-3-2025.png\", dpi=600, bbox_inches=\"tight\")\n",
    "    plt.show()\n",
    "\n",
    "# Call the function with your data\n",
    "combined_plot_moving_averages(mars_df, earth_df)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 250x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#histogram with backwater length and avulsions\n",
    "\n",
    "#make a list with the measurements\n",
    "AL_meas = [0.3, 0.5, 0.8, 0.9, 0.5, 0.7, 0.8, 0.8, 1.2, 0.5, 0.8, 1.2, 0.8, 1.5, 0.5, 0.7, 1.1, 1.4, 0.8, 1.5, 0.7, 0.8]\n",
    "\n",
    "fig, ax = plt.subplots(figsize =(2.5, 2))\n",
    "\n",
    "ax.hist(AL_meas, bins = [0, 0.2, 0.4, 0.6, 0.8, 1, 1.2, 1.4, 1.6,])\n",
    "#ax.hist(AL_meas, bins = [0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0, 2.1, 2.2])\n",
    "ax.tick_params(axis=\"y\",direction=\"in\")\n",
    "ax.tick_params(axis=\"x\",direction=\"in\")\n",
    "ax.locator_params(axis='x', nbins=5)  # Reduce number of x-axis ticks\n",
    "ax.locator_params(axis='y', nbins=5) \n",
    "#ax.xaxis.set_ticklabels([])\n",
    "#ax.yaxis.set_ticklabels([])\n",
    "\n",
    "\n",
    "\n",
    "#plt.ylabel(\"count\")\n",
    "#plt.xlabel(\"avulsion length / backwater length\")\n",
    "fig.tight_layout()\n",
    "\n",
    "#savefig('F:/manuscripts/AD_Belt_Tapering/Figures/results/avulsionlength_histogram_nolabels_small_12-29-2023.png', dpi = 600)\n",
    "#plt.savefig(\"avulsionhistogram_narrow.png\", dpi=600, bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 607,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'one_char_width': 155,\n",
       " 'two_char_width': 121,\n",
       " 'three_char_width': 98,\n",
       " 'four_char_width': 36,\n",
       " 'five_char_width': 75,\n",
       " 'six_char_width': 41,\n",
       " 'seven_char_width': 78,\n",
       " 'eight_char_width': 113,\n",
       " 'nine_char_width': 134}"
      ]
     },
     "execution_count": 607,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "char_widths"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "mars_df.to_csv(\"for_methods_para_2-26-2025.csv\", index=False)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
